OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
aicomputer-visiondeep-learningdeploy-aidiffusion-modelsgenerative-aigood-first-issueinferencellm-inferencenatural-language-processingnlpopenvinooptimize-aiperformance-boostrecommendation-systemspeech-recognitionstable-diffusiontransformersyolo
1d7f81c108
* Written header file for the nGraph reference implementation of the operation ExperimentalDetectronGenerateProposalsSingleImage. * Small fixes. * Started to write cpp-file for the nGraph reference implementation of the operation ExperimentalDetectronGenerateProposalsSingleImage. * Written the postprocessing function for the nGraph reference implementation of the operation ExperimentalDetectronGenerateProposalsSingleImage. * Code style fixes. * Started to write calculations of the nGraph reference implementation of the operation ExperimentalDetectronGenerateProposalsSingleImage. * Written the helper function refine_anchors(). * Written the helper function unpack_boxes(). * Small fix. * Code style fixes. * Written calculations of the nGraph reference implementation of the operation ExperimentalDetectronGenerateProposalsSingleImage. * Code style fixes. * Fixed type of one argument of fill_output_blobs(). * Code style fix. * Written evaluate() for the operation ExperimentalDetectronGenerateProposalsSingleImage (in evaluates_map.cpp). * Deleted redundant 'using' for typedef. * Continued to write tests for ExperimentalDetectronGenerateProposalsSingleImage evaluation in the nGraph reference implementation. * Fixed the reference implementation of the operation ExperimentalDetectronGenerateProposalsSingleImage. * Deleted commented code. Code style fixes. * Code style fix. * Deleted debug prints in the test for an evaluation of the nGraph operation ExperimentalDetectronGenerateProposalsSingleImage. * Enabled ONNX Importer test for the operation ExperimentalDetectronGenerateProposalsSingleImage. * Enabled some test. * Small fix. * Now postprocessing of the nGraph reference realization of the operation ExperimentalDetectronGenerateProposalsSingleImage throws exception when input data type is not supported. * Code style fix. * Written yet another test for the nGraph reference implementation of the operation ExperimentalDetectronGenerateProposalsSingleImage. * Reused ProposalBox type from the reference implementation of the operation Proposal. * Added check for the attribute post_nms_count in the operation ExperimentalDetectronGenerateProposalsSingleImage evaluation. * Small fixes. |
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| SECURITY.md | ||
OpenVINO™ Toolkit
This toolkit allows developers to deploy pre-trained deep learning models through a high-level C++ Inference Engine API integrated with application logic.
This open source version includes several components: namely Model Optimizer, nGraph and Inference Engine, as well as CPU, GPU, MYRIAD, multi device and heterogeneous plugins to accelerate deep learning inferencing on Intel® CPUs and Intel® Processor Graphics. It supports pre-trained models from the Open Model Zoo, along with 100+ open source and public models in popular formats such as Caffe*, TensorFlow*, MXNet* and ONNX*.
Repository components:
License
Deep Learning Deployment Toolkit is licensed under Apache License Version 2.0. By contributing to the project, you agree to the license and copyright terms therein and release your contribution under these terms.
Resources:
- Docs: https://docs.openvinotoolkit.org/
- Wiki: https://github.com/openvinotoolkit/openvino/wiki
- Issue tracking: https://github.com/openvinotoolkit/openvino/issues
- Storage: https://storage.openvinotoolkit.org/
- Additional OpenVINO™ modules: https://github.com/openvinotoolkit/openvino_contrib
- Intel® Distribution of OpenVINO™ toolkit Product Page
- Intel® Distribution of OpenVINO™ toolkit Release Notes
Support
Please report questions, issues and suggestions using:
- The
openvinotag on StackOverflow* - GitHub* Issues
- Forum
* Other names and brands may be claimed as the property of others.